Design of a Voice Interaction Module Based on NanoPI NEO2
Keywords:
Voice interaction; Speech recognition and synthesis; Large model integration; Case ApplicationAbstract
With the deep integration of Internet of Things (IoT) and Artificial Intelligence (AI) technologies, voice interaction, as a natural and efficient mode of human-computer interaction, has widely penetrated various fields of social life and work. This paper mainly discusses the design process of a lightweight intelligent voice interaction module based on NanoPi NEO2. This module uses the NanoPi NEO2 development board as the core hardware platform, runs the Ubuntu operating system, and integrates four key technologies: voice wake-up, speech recognition, speech synthesis, and natural language processing. Through an API interface, it connects to large models, enabling a full-process interaction from voice input to command response. Based on the hardware architecture and software environment of the NanoPi NEO2 module, the performance advantages in voice interaction scenarios are analyzed. The overall system architecture, hardware interfaces, software functional modules, and large model integration process are described, and typical application cases are listed. By setting up a testing environment, tests are conducted from the perspectives of functional completeness, response latency, and stability, verifying the module's feasibility, demonstrating its stable application in smart home, portable intelligent assistant, and other scenarios, and providing a feasible solution for the wide application of voice interaction systems.